Network-storage coordinated suppression strategy of metro impact load considering dual-dimension volatility assessment
Frequent startup and shutdown of metro trains will cause a large impact on the traction load in a short time,which will easily lead to accelerated aging of transformer insulation and overload risk of main transformer.To solve this problem,a coordinated network storage optimization strategy for subway load impact is proposed.Firstly,based on the time-series characteristics of subway load,the formation mechanism of impact load is analyzed,and a two-dimensional fluctuation index considering the characteristics of power curve is established to quantitatively de-scribe the impact degree.Secondly,taking the optimal system economy and the minimum load impact as the upper and lower objectives respectively,a double-layer optimization model for the coordinated control of grid topology and energy storage devices is established to solve the optimal switching change and energy storage scheduling strategy.Finally,the actual power supply load of a subway line in Shanghai is taken as an example,and the results show that the proposed method can effectively suppress the impact load and improve the reliability and economy of power supply.
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